Markets Treasury - Liquidity and Capital Optimization - Executive Director

Job Responsibilities

• Lead the effort within the Markets Treasury organization, focusing on creating and implementing optimization strategies in response to the firm's binding financial resource constraints
• Drive optimization efforts across collateral management, liquidity management (LCR/NSFR/internal stress models), counterparty credit risk RWA, market risk RWA, leverage, and GSIB
• Understand firm and legal entity-level drivers of financial resource consumption
• Partner with relevant FICC & Equities trading desks to move collateral in ways that maximize liquidity value for the firm
• Drive the development of optimizers, data-mining strategies, benefit trackers, and related analytics, leveraging AI tooling where possible to scale solutions and reduce time to market
• Maintain a deep understanding of our internal liquidity methodologies, recognize inefficiencies, and champion methodology changes
• Perform detailed reviews of our counterparty portfolios, analyzing trade structures and related documentation to identify opportunities
• Work with third-party vendors and clearing houses to understand external product offerings and help define internal and external roadmaps

• Stay informed on the broader competitive landscape and binding constraints faced by peer banks across regions

   

Required Qualifications, Capabilities, and Skills

• Bachelor's degree in Finance, Engineering, Mathematics, or a related quantitative field
• Extensive experience in structured financing, financing, XVA, or a financial resource optimization role
• Prior experience structuring derivative and securities financing trades
• Expert-level working knowledge of US financial resource topics, including liquidity (internal stress models, LCR, NSFR), Basel III, GSIB, SLR, SCB, and regulatory initial margin (NCMR/CCP)
• Strong knowledge of pricing and risk management of securities financing and derivative transactions, preferably cross-asset and with an understanding of derivative XVAs
• Proven experience working with large amounts of data across a variety of technology stacks
• Track record of successfully partnering with technology and quantitative research teams
• Comfortable interacting with senior stakeholders and building buy-in for strategic initiatives

Preferred Qualifications, Capabilities, and Skills

• Advanced degree and/or relevant certifications
• Deep experience working with Python, SQL, Tableau, AWS, Databricks, and AI tools strongly preferred